Image analysis – Applications – Biomedical applications
Reexamination Certificate
2006-12-11
2010-06-08
Azarian, Seyed (Department: 2624)
Image analysis
Applications
Biomedical applications
C382S275000, C378S016000
Reexamination Certificate
active
07734076
ABSTRACT:
A diagnostic imaging system in an example includes a high frequency electromagnetic energy source, a detector, a data acquisition system (DAS), and a computer. The high frequency electromagnetic energy source emits a beam of high frequency electromagnetic energy toward an object to be imaged. The detector receives high frequency electromagnetic energy emitted by the high frequency electromagnetic energy source. The DAS is operably connected to the detector and programmed to employ a threshold to trigger a filter operation on a pixel, in a basis material decomposition (BMD) image of a plurality of BMD images, through comparison of an actual noise ratio between a pair of BMD images, of the plurality of BMD images, to a theoretical BMD noise ratio value. The computer is programmed to employ a correlation in noise distribution of the plurality of BMD images to reduce image noise in the plurality of BMD images.
REFERENCES:
patent: 4029963 (1977-06-01), Alvarez et al.
patent: 4571491 (1986-02-01), Vinegar et al.
patent: 4686695 (1987-08-01), Macovski
patent: 6973158 (2005-12-01), Besson
patent: 6975894 (2005-12-01), Wehrli et al.
patent: 7116749 (2006-10-01), Besson
patent: 7190757 (2007-03-01), Ying et al.
patent: 7197172 (2007-03-01), Naidu et al.
patent: 2004/0184575 (2004-09-01), Sikora
patent: 2004/0223585 (2004-11-01), Heismann et al.
patent: 2008/0273666 (2008-11-01), Walter et al.
Alvarez et al., “Energy-Selective Reconstructions in X-Ray Computerized Tomography”, Phys. Med. Biol., Voluume 21, No. 5, pp. 733-744, 1976.
Taguchi et al., “Image-Domain Material Decomposition Using Photon-Counting CT”, Proc. of SPIE, vol. 6510, pp. 651008-1-651008-10, 2007.
Brody et al., “A Method for Selective Tissue and Bone Visualization Using Dual Energy Scanned Projection Radiography”, Med. Phys., vol. 8, No. 3, pp. 353-357, May/Jun. 1981.
Walter et al., “Accuracy and Precision of Dual Energy CT Imaging for the Quantification of Tissue Fat Content”, Proc. of SPIE, vol. 6142, pp. 61421G-1-61421G-12, 2006.
Heismann et al., “Density and Atomic Number Measurements With Spectral X-Ray Attenuation Method”, Journal of Applied Physics, vol. 94, No. 3, pp. 2073-2079, Aug. 1, 2003.
Taibi et al., “Dual-Energy Imaging in Full-Field Digital Mammography: A Phantom Study”, Phys. Med. Biol., vol. 48, pp. 1945-1956, 2003.
Marziani et al., “Dual-Energy Tissue Cancellation in Mammography With Quasi-Monochromatic X-Rays”, Phys. Med. Biol., vol. 47, pp. 305-313, 2002.
Lehmann et al., “Generalized Image Combinations in Dual KVP Digital Radiography”, Med. Phys., vol. 8, No. 5, pp. 659-667, Sep./Oct. 1981.
Kanai S. Shah, MS, A Novel Position Sensitive Detector for Nuclear Radiation, 2005.
Willi A. Kalender, Ernst Klotz, and Lena Kostaridou, An Algorithm for Noise Suppression in Dual Energy CT Material Density Images, IEEE Transactions on Medical Imaging, Vol. 7, No. 3, Sep. 1988.
Du Yanfeng
Tkaczyk John Eric
Asmus Scott J.
Azarian Seyed
General Electric Company
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